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Predicting multisite protein subcellular locations: progress and challenges

Journal

EXPERT REVIEW OF PROTEOMICS
Volume 10, Issue 3, Pages 227-237

Publisher

TAYLOR & FRANCIS LTD
DOI: 10.1586/EPR.13.16

Keywords

informative features; multisites; single site; subcellular locations

Funding

  1. National Science Foundation of China [NSFC 61005041]
  2. Specialized Research Fund for the Doctoral Program of Higher Education [20100032120039]
  3. Tianjin Natural Science Foundation [12JCQNJC02300]
  4. China Postdoctoral Science Foundation [2012T50240, 2013M530114]
  5. Seed Foundation of Tianjin University [60302006, 60302024]

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In the last two decades, predicting protein subcellular locations has become a hot topic in bioinformatics. A number of algorithms and online services have been developed to computationally assign a subcellular location to a given protein sequence. With the progress of many proteome projects, more and more proteins are annotated with more than one subcellular location. However, multisite prediction has only been considered in a handful of recent studies, in which there are several common challenges. In this special report, the authors discuss what these challenges are, why these challenges are important and how the existing studies gave their solutions. Finally, a vision of the future of predicting multisite protein subcellular locations is given.

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